The PSSIScaleAging system is an artificial intelligence tool developed by Fisheries and Oceans Canada to automate and improve salmon age analysis. The system uses advanced computer vision technology, specifically Convolutional Neural Networks (CNNs), to analyze scale images and accurately determine the age of salmon specimens. This system is currently in development and does not involve the collection or processing of personal information.
The system addresses a critical operational challenge: DFO's Sclerochronology Lab currently performs approximately 80,000 salmon scale aging assessments annually across British Columbia and the Yukon. By automating this process, the system allows lab technicians to work more efficiently while maintaining or improving accuracy. The technology reduces reliance on manual expertise and experience, enabling the lab to process more assessments with existing resources.
The system is designed for use by Government of Canada employees working in fish age analysis. As this system is still in development, DFO is committed to responsible AI deployment and public transparency regarding how this technology will be implemented and used in fish management services.
